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Disentangling the unique associations of age, pubertal stage, and pubertal hormones with white matter microstructure in childhood and adolescence.

Overview

Authors: Mark Curtis1, Anastasia Yendiki2, Theresa Cheng3, Adam Omary3, John C. Flournoy3, Sridhar Kandala4, Ashley F.P. Sanders4, Michael P. Harms4, Leah H. Somerville2, Deanna M. Barch1
ORCID iDs: Mark Curtis
  1. Department of Psychological and Brain Sciences, Washington University in St. Louis, MO, United States
  2. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
  3. Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, United States
  4. Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
Journal: Imaging neuroscience (Cambridge, Mass.), volume 4, article IMAG.a.1270
Dates: received 28 October 2025; accepted 12 May 2026; published online 15 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/imag.a.1270 · PMID 42312087 · PMCID PMC13271154 · OpenAlex W7161953677
Open access: diamond, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), developmental (subfield)
Methods: Connectivity, Statistics, Preprocessing, fMRI & imaging
Keywords: puberty, hormones, white matter, development
Topic: Advanced Neuroimaging Techniques and Applications (Radiology, Nuclear Medicine and Imaging, Medicine), according to OpenAlex
Funding: National Institute of Mental Health (U01MH109589, U01MH109589-S1, R01MH129493, T32 MH100019); National Institute of Health (S10OD020039)
Citations: not cited yet (Europe PMC); 87 references in the paper

Abstract

Puberty is associated with hormone level changes that influence white matter development. It remains unclear how pubertal stage and pubertal hormones uniquely relate to white matter microstructure development. Further, it is unclear if white matter tracts develop along a hierarchical sensorimotor-association (S-A) axis, similar to other aspects of brain development. We used the Human Connectome Project in Development cross-sectional sample of 1,105 youth (aged 5–21 years) to investigate unique associations of sex, age, pubertal stage, DHEA, testosterone, estradiol, and progesterone with fractional anisotropy (FA) within canonical white matter tracts. The average S-A axis rank was calculated for tract cortical endpoints. Age was the best-fit model for 17 tracts with prefrontal, parietal, and temporal connections. The Pubertal Timing model (age-adjusted pubertal stage) was the best fit for the superior longitudinal fasciculus 1. The DHEA model was the best fit for the splenium, genu, and prefrontal body of the corpus callosum. The Estradiol model was the best fit for the ventral cingulum bundle, extreme capsule, inferior longitudinal fasciculus, and uncinate fasciculus. The Full model was the best fit for the rostrum. Radial diffusivity explained more FA variability than axial diffusivity in all tracts. Pubertal Timing and DHEA were more related to FA in association-related tracts than sensorimotor-related tracts. Thus, during childhood and adolescence, Pubertal timing and DHEA may be uniquely related to white matter tract microstructure in association-related tracts.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

Datasets cited

Data and Code Availability

The HCP-Development Lifespan 2.0 Release is available for download from the NIMH Data Archive (NDA). Information about the release is available at: https://www.humanconnectome.org/study/hcp-lifespan-development/data-releases. The 2.0 Release includes cross-sectional visit 1 (V1) preprocessed structural and functional imaging data, unprocessed V1 imaging data for all included modalities (structural, resting-state fMRI, task fMRI, diffusion, and ASL), and non-imaging demographic and behavioral assessment data from 652 HCP-Development (HCP-D, ages 5–21) healthy participants. This manuscript used cross-sectional data from 1301 HCP-D participants, many of whom are not in the 2.0 Release, but will be available in the 3.0 Release.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 10 authors, 4 keywords, 2 funders, 86 references.

Cite

This paper

Curtis, M., Yendiki, A., Cheng, T., Omary, A., Flournoy, J. C., Kandala, S., Sanders, A. F., Harms, M. P., Somerville, L. H., & Barch, D. M. (2026). Disentangling the unique associations of age, pubertal stage, and pubertal hormones with white matter microstructure in childhood and adolescence. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1270. https://doi.org/10.1162/imag.a.1270

BibTeX

@article{curtis2026disentangling,
author = {Curtis, Mark and Yendiki, Anastasia and Cheng, Theresa and Omary, Adam and Flournoy, John C. and Kandala, Sridhar and Sanders, Ashley F.P. and Harms, Michael P. and Somerville, Leah H. and Barch, Deanna M.},
title = {{Disentangling the unique associations of age, pubertal stage, and pubertal hormones with white matter microstructure in childhood and adolescence}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = jun,
volume = {4},
pages = {IMAG.a.1270},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/imag.a.1270},
url = {https://doi.org/10.1162/imag.a.1270},
pmid = {42312087},
pmcid = {PMC13271154}
}

RIS

TY - JOUR
AU - Curtis, Mark
AU - Yendiki, Anastasia
AU - Cheng, Theresa
AU - Omary, Adam
AU - Flournoy, John C.
AU - Kandala, Sridhar
AU - Sanders, Ashley F.P.
AU - Harms, Michael P.
AU - Somerville, Leah H.
AU - Barch, Deanna M.
TI - Disentangling the unique associations of age, pubertal stage, and pubertal hormones with white matter microstructure in childhood and adolescence
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/06/15
VL - 4
SP - IMAG.a.1270
SN - 2837-6056
PB - MIT Press
DO - 10.1162/imag.a.1270
UR - https://doi.org/10.1162/imag.a.1270
LA - en
ER -

CSL-JSON

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